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Center for Music in the Brain

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Müller, V., Fairhurst, M. T., van Vugt, F. T. & Keller, P. E. (2025). Editorial: Interpersonal synchrony and network dynamics in social interaction, volume II. Frontiers in Human Neuroscience, 19, Article 1667942. https://doi.org/10.3389/fnhum.2025.1667942

Launay, J., Grube, M. & Stewart, L. (2014). Dysrhythmia: a specific congenital rhythm perception deficit. Frontiers in Psychology, 5, 18. https://doi.org/10.3389/fpsyg.2014.00018

Burunat, I., Alluri, V., Toiviainen, P., Numminen, J. & Brattico, E. (2014). Dynamics of brain activity underlying working memory for music in a naturalistic condition. Cortex, 57, 254-69. https://doi.org/10.1016/j.cortex.2014.04.012

Vohryzek, J., Cabral, J., Castaldo, F., Sanz-Perl, Y., Lord, L. D., Fernandes, H. M., Litvak, V., Kringelbach, M. L. & Deco, G. (2023). Dynamic sensitivity analysis: Defining personalised strategies to drive brain state transitions via whole brain modelling. Computational and Structural Biotechnology Journal, 21, 335-345. https://doi.org/10.1016/j.csbj.2022.11.060

Varlet, M., Nozaradan, S. & Keller, P. E. (2025). Dynamic neural processing of self-other synchronization error in interpersonal coordination. iScience, 28(12), Article 114081. https://doi.org/10.1016/j.isci.2025.114081

Fuhr, B. P., Perl, Y. S., Severino, I., Kringelbach, M. L., Deco, G., Ruhé, H. G. & Lombardo, M. V. (2026). Dynamic Functional Synchronization Profiles in Autism Differ by Spatial Scale and Along Hierarchical Cortical Gradients. Biological Psychiatry Global Open Science, 6(5), Article 100787. https://doi.org/10.1016/j.bpsgos.2026.100787

Niranjan, D., Toiviainen, P., Brattico, E. & Alluri, V. (2019). Dynamic Functional Connectivity in the Musical Brain. In P. Liang, V. Goel & C. Shan (Eds.), Brain Informatics : 12th International Conference, BI 2019 Haikou, China, December 13–15, 2019 Proceedings (pp. 82-91). Springer. https://doi.org/10.1007/978-3-030-37078-7_9

Kringelbach, M. L., Cruzat, J., Cabral, J., Knudsen, G. M., Carhart-Harris, R., Whybrow, P. C., Logothetis, N. K. & Deco, G. (2020). Dynamic coupling of whole-brain neuronal and neurotransmitter systems. Proceedings of the National Academy of Sciences (PNAS), 117(17), 9566-9576. https://doi.org/10.1073/pnas.1921475117

Lumaca, M., Vuust, P. & Dietz, M. (2019). Dynamic causal modelling of effective connectivity during music perception. Poster session presented at Organization for Human Brain Mapping (OHBM) Annual Meeting 2019, Rome, Italy.

Luppi, A. I., Cabral, J., Cofre, R., Destexhe, A., Deco, G. & Kringelbach, M. L. (2022). Dynamical models to evaluate structure–function relationships in network neuroscience. Nature Reviews Neuroscience, 23(12), 767-768. https://doi.org/10.1038/s41583-022-00646-w

Lord, L. D., Expert, P., Atasoy, S., Roseman, L., Rapuano, K., Lambiotte, R., Nutt, D. J., Deco, G., Carhart-Harris, R. L., Kringelbach, M. L. & Cabral, J. (2019). Dynamical exploration of the repertoire of brain networks at rest is modulated by psilocybin. NeuroImage, 199, 127-142. https://doi.org/10.1016/j.neuroimage.2019.05.060

Deco, G., Kringelbach, M. L., Arnatkeviciute, A., Oldham, S., Sabaroedin, K., Rogasch, N. C., Aquino, K. M. & Fornito, A. (2021). Dynamical consequences of regional heterogeneity in the brain's transcriptional landscape. Science Advances, 7(29), Article eabf4752. https://doi.org/10.1126/sciadv.abf4752

Parsons, C. E., Young, K. S., Petersen, M. V., Jegindoe Elmholdt, E.-M., Vuust, P., Stein, A. & Kringelbach, M. L. (2017). Duration of motherhood has incremental effects on mothers' neural processing of infant vocal cues: a neuroimaging study of women. Scientific Reports, 7(1), Article 1727. https://doi.org/10.1038/s41598-017-01776-3

Laffi, L., Salerno, A., Friard, O., Poletti, S., Ruffa, G., Tubito, M., Bianco, V. L., Valente, D., Capasso, M., Castiglioni, R., Isaja, V., Ravignani, A. & Gamba, M. (2026). Dual Sound Sources in Siamangs Generate Individually Rhythmic and Temporally Coordinated Vocal Emissions. Annals of the New York Academy of Sciences, 1558(1), Article e70273. https://doi.org/10.1111/nyas.70273

Costa, M., Bonetti, L., VIgnali, V., Bichicchi, A., Lantieri, C. & Simone, A. (2019). Driver's visual attention to different categories of roadside advertising signs. Applied Ergonomics, 78, 127-136. https://doi.org/10.1016/j.apergo.2019.03.001

Pando-Naude, V., Matthews, T. E., Højlund, A., Jakobsen, S., Østergaard, K., Johnsen, E., Garza-Villarreal, E. A., Witek, M. A. G., Penhune, V. & Vuust, P. (2024). Dopamine dysregulation in Parkinson's disease flattens the pleasurable urge to move to musical rhythms. European Journal of Neuroscience, 59(1), 101-118. https://doi.org/10.1111/ejn.16128

Starcke, K., von Georgi, R., Tiihonen, T. M., Laczika, K. F. & Reuter, C. (2019). Don't drink and chill: Effects of alcohol on subjective and physiological reactions during music listening and their relationships with personality and listening habits. International Journal of Psychophysiology, 142, 25-32. https://doi.org/10.1016/j.ijpsycho.2019.06.001

Stewart, L. (2008). Do musicians have different brains? Clinical Medicine, Journal of the Royal College of Physicians of London, 8(3), 304-8.

Grassi, M., Talamini, F., Altoè, G., Brattico, E., Caclin, A., Carretti, B., Drai-Zerbib, V., Ferreri, L., Gambarota, F., Grahn, J., Guiotto Nai Fovino, L., Roccato, M., Rodriguez-Fornells, A., Swaminathan, S., Tillmann, B., Vuust, P., Wilbiks, J., Zentner, M., Aguilar, K. ... Zappa, A. (2025). Do Musicians Have Better Short-Term Memory Than Nonmusicians? A Multilab Study. Advances in Methods and Practices in Psychological Science, 8(4). https://doi.org/10.1177/25152459251379432

Heggli, O. A., Stupacher, J. & Vuust, P. (2021). Diurnal fluctuations in musical preference. Royal Society Open Science, 8(11), Article 210885. https://doi.org/10.1098/rsos.210885

Luppi, A. I., Vohryzek, J., Kringelbach, M. L., Mediano, P. A. M., Craig, M. M., Adapa, R., Carhart-Harris, R. L., Roseman, L., Pappas, I., Peattie, A. R. D., Manktelow, A. E., Sahakian, B. J., Finoia, P., Williams, G. B., Allanson, J., Pickard, J. D., Menon, D. K., Atasoy, S. & Stamatakis, E. A. (2023). Distributed harmonic patterns of structure-function dependence orchestrate human consciousness. Communications Biology, 6(1), Article 117. https://doi.org/10.1038/s42003-023-04474-1

Todd, N. P. M., Govender, S., Hochstrasser, D., Keller, P. E. & Colebatch, J. G. (2025). Distinct movement related changes in EEG and ECeG power during finger and foot movement. Neuroscience Letters, 853, Article 138207. https://doi.org/10.1016/j.neulet.2025.138207

Daffertshofer, A., Ton, R., Kringelbach, M. L., Woolrich, M. & Deco, G. (2018). Distinct criticality of phase and amplitude dynamics in the resting brain. NeuroImage, 180, 442-447. https://doi.org/10.1016/j.neuroimage.2018.03.002

Kohler, N., Czepiel, A. M., de Manzano, Ö., Novembre, G., Keller, P. E., Villringer, A. & Sammler, D. (2025). Distinct and content-specific neural representations of self- and other-produced actions in joint piano performance. Frontiers in Human Neuroscience, 19, Article 1543131. https://doi.org/10.3389/fnhum.2025.1543131

Harrison, P. & Pearce, M. (2018). Dissociating sensory and cognitive theories of harmony perception through computational modeling. In Proceedings of the 15th International Conference on Music Perception & Cognition http://webprojects.eecs.qmul.ac.uk/marcusp/papers/HarrisonPearce2018a.pdf

Ross, S. & Hansen, N. C. (2016). Dissociating Prediction Failure: Considerations from Music Perception. The Journal of Neuroscience, 36(11), 3103-3105. https://doi.org/10.1523/JNEUROSCI.0053-16.2016

Bruzzone, S. E. P., Lumaca, M., Brattico, E., Vuust, P., Kringelbach, M. L. & Bonetti, L. (2022). Dissociated brain functional connectivity of fast versus slow frequencies underlying individual differences in fluid intelligence: a DTI and MEG study. Scientific Reports, 12(1), Article 4746. https://doi.org/10.1038/s41598-022-08521-5

Jakubowski, K., Finkel, S., Stewart, L. & Müllensiefen, D. (2017). Dissecting an earworm: Melodic features and song popularity predict involuntary musical imagery. Psychology of Aesthetics, Creativity, and the Arts, 11(2), 122-135. https://doi.org/10.1037/aca0000090

Padilla, N., Escrichs, A., Del Agua, E., Kringelbach, M., Donaire, A., Deco, G. & Åden, U. (2023). Disrupted resting-sate brain network dynamics in children born extremely preterm. Cerebral Cortex, 33(13), 8101-8109. https://doi.org/10.1093/cercor/bhad101

Fernandes, H. M., Cabral, J., van Hartevelt, T. J., Lord, L. D., Gleesborg, C., Møller, A., Deco, G., Whybrow, P. C., Petrovic, P., James, A. C. & Kringelbach, M. L. (2019). Disrupted brain structural connectivity in Pediatric Bipolar Disorder with psychosis. Scientific Reports, 9(1), Article 13638. https://doi.org/10.1038/s41598-019-50093-4

Stewart, L., Von Kriegstein, K., Bella, S. D., Warren, J. D. & Griffiths, T. D. (2008). Disorders of Musical Cognition. In The Oxford Handbook of Music Psychology Oxford University Press. https://doi.org/10.1093/oxfordhb/9780199298457.013.0017

Celma-Miralles, A., Crespo-Bojorque, P. & Toro, J. (2022). Discrimination of the musical features of a tune by rats. Poster session presented at Social BRIDGES Conference, Munich, Germany. https://www.unibw.de/socialbridges/socialbridges_de

Stevner, A. B. A., Vidaurre, D., Cabral, J., Rapuano, K., Nielsen, S. F. V., Tagliazucchi, E., Laufs, H., Vuust, P., Deco, G., Woolrich, M. W., Van Someren, E. & Kringelbach, M. L. (2019). Discovery of key whole-brain transitions and dynamics during human wakefulness and non-REM sleep. Nature Communications, 10(1), Article 1035. https://doi.org/10.1038/s41467-019-08934-3

Bianco, R., Magami, K., Pearce, M. & Chait, M. (2026). Discovery, Interruption, and Updating of Auditory Regularities in Memory: Evidence from Low-Frequency Brain Dynamics in Human MEG. The Journal of neuroscience : the official journal of the Society for Neuroscience, 46(2), Article e0629252025. https://doi.org/10.1523/JNEUROSCI.0629-25.2025

Tsatsishvili, V., Cong, F., Puoliväli, T., Alluri, V., Toiviainen, P., Nandi, A. K., Brattico, E. & Ristaniemi, T. (2013). Dimension reduction for individual ICA to decompose FMRI during real-world experiences: Principal component analysis vs. canonical correlation analysis. In ESANN 2013 proceedings, 21st European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning (pp. 137-142)

Sipola, T., Cong, F., Ristaniemi, T., Alluri, V., Toiviainen, P., Brattico, E. & Nandi, A. K. (2013). Diffusion map for clustering fMRI spatial maps extracted by Indipendent Component Analysis. IEEE International Workshop on Machine Learning for Signal Processing. https://doi.org/10.1109/MLSP.2013.6661923

Moorthigari, V., Carlson, E., Toiviainen, P., Brattico, E. & Alluri, V. (2020). Differential Effects of Trait Empathy on Functional Network Centrality. In M. Mahmud, S. Vassanelli, M. S. Kaiser & N. Zhong (Eds.), Brain informatics (pp. 107-117). Springer. https://doi.org/10.1007/978-3-030-59277-6_10

Moisseinen, N., Särkämö, T., Kauramäki, J., Kleber, B., Sihvonen, A. J. & Martínez-Molina, N. (2023). Differential effects of ageing on the neural processing of speech and singing production. Frontiers in Aging Neuroscience, 15, Article 1236971. https://doi.org/10.3389/fnagi.2023.1236971

Dai, R., Toiviainen, P., Campo, F., Cantou, P., Fasano, M. C., Kleber, B. A., Vuust, P. & Brattico, E. (2025). Differences in dynamic functional connectivity between naturalistic music listening and rest in preadolescents. Frontiers in Human Neuroscience, 19, Article 1651074. https://doi.org/10.3389/fnhum.2025.1651074, https://doi.org/10.3389/fnhum.2025.1651074

Dai, R., Toiviainen, P., Campo, F. F. & Brattico, E. (2025). Differences in dynamic functional connectivity between musicians and non-musicians during naturalistic music listening. Frontiers in Neuroscience, 19, Article 1649733. https://doi.org/10.3389/fnins.2025.1649733

O'Kelly, J. & Bodak, R. (2016). Development of the music therapy assessment Tool for advanced Huntington’s disease: A pilot validation study. Journal of Music Therapy, 53(3), 232-256. https://doi.org/10.1093/jmt/thw006

Garrido, L., Eisner, F., McGettigan, C., Stewart, L., Sauter, D., Hanley, J. R., Schweinberger, S. R., Warren, J. D. & Duchaine, B. (2009). Developmental phonagnosia: a selective deficit of vocal identity recognition. Neuropsychologia, 47(1), 123-31. https://doi.org/10.1016/j.neuropsychologia.2008.08.003

Kujala, T. & Brattico, E. (2009). Detrimental noise effects on brain's speech functions. Biological Psychology, 81(3), 135-143. https://doi.org/10.1016/j.biopsycho.2009.03.010

Chen, J. L., Kumar, S., Williamson, V. J., Scholz, J., Griffiths, T. D. & Stewart, L. (2015). Detection of the arcuate fasciculus in congenital amusia depends on the tractography algorithm. Frontiers in Psychology, 6, 9. https://doi.org/10.3389/fpsyg.2015.00009

Crespo-Bojorque, P., Celma-Miralles, A. & Toro, J. M. (2022). Detecting surface changes in a familiar tune: exploring pitch, tempo and timbre. Animal Cognition, 25(4), 951-960. https://doi.org/10.1007/s10071-022-01604-w

Alonso, S., Tyborowska, A., Ikani, N., Mocking, R. J. T., Figueroa, C. A., Schene, A. H., Deco, G., Kringelbach, M. L., Cabral, J. & Ruhé, H. G. (2023). Depression recurrence is accompanied by longer periods in default mode and more frequent attentional and reward processing dynamic brain-states during resting-state activity. Human Brain Mapping, 44(17), 5770-5783. https://doi.org/10.1002/hbm.26475

Young, K., Parsons, C., Stein, A. & Kringelbach, M. L. (2015). Depression alters movement in response to salient emotional sounds and in social interactions. Poster session presented at Neuroscience 2015, Chicago, IL, United States.

Bonetti, L., Vænggård, A. K., Iorio, C., Vuust, P. & Lumaca, M. (2024). Decreased inter-hemispheric connectivity predicts a coherent retrieval of auditory symbolic material. Biological Psychology, 193, Article 108881. https://doi.org/10.1016/j.biopsycho.2024.108881

Quiroga Martinez, D. R., Hansen, N. C., Højlund, A., Pearce, M., Brattico, E. & Vuust, P. (2020). Decomposing neural responses to melodic surprise in musicians and non-musicians: evidence for a hierarchy of predictions in the auditory system. NeuroImage, 215, Article 116816. https://doi.org/10.1016/j.neuroimage.2020.116816

Bonetti, L., Vestberg, T., Jafari, R., Seghezzi, D., Ingvar, M., Kringelbach, M. L., Filgueiras, A. & Petrovic, P. (2025). Decoding the elite soccer player's psychological profile. Proceedings of the National Academy of Sciences of the United States of America, 122(3), e2415126122. Article e2415126122. https://doi.org/10.1073/pnas.2415126122

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